Head of Data Analytics and Personalisation

Empowering Africa’s tomorrow, together one story at a time.
- With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

The Head of Data Analytics and Personalisation is responsible for driving data-driven decision-making and customer personalisation strategies to enhance business growth, operational efficiency, and customer experience. This role will lead the development and execution of advanced analytics, AI-driven insights, and customer segmentation strategies to optimise engagement, product offerings, and business outcomes.

Job Description

1. Data Analytics Strategy & Execution
- Develop and implement a comprehensive Data Analytics strategy that aligns with business objectives.
- Lead advanced data modelling, machine learning, and AI initiatives to generate actionable insights.
- Ensure that analytics drive operational efficiencies, revenue growth, and risk management.

2. Customer Personalisation & Engagement
- Design and implement AI-driven personalisation models to enhance customer engagement across digital and traditional channels.
- Leverage predictive analytics to drive customer segmentation, targeting, and hyper-personalised experiences.
- Establish frameworks to measure the impact of personalisation on customer satisfaction, retention, and lifetime value.

3. Leadership & Team Development
- Build, lead, and mentor a high-performing data analytics and personalisation team.
- Foster a culture of innovation, continuous learning, and data-driven decision-making.
- Collaborate with cross-functional teams, including marketing, digital, product, and technology, to embed analytics into strategic initiatives.

4. Data Infrastructure & Governance
- Partner with teams to ensure a scalable, secure, and efficient data infrastructure.
- Promote and enforce data governance, quality, and ethical AI practices.
- Oversee data privacy compliance and ensure adherence to regulatory requirements.

5. Performance Measurement & Business Impact
- Define and track KPIs to measure the impact of analytics and personalisation on business performance.
- Continuously refine strategies based on insights, market trends, and evolving customer needs.
- Provide executive-level reporting and storytelling to communicate data-driven strategies and outcomes.

Key Requirements:
Qualifications & Experience
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- 10+ years of experience in Data Analytics, AI, customer insights, or personalisation strategy.
- Proven experience in leading Data analytics and AI-driven personalisation initiatives in a customer-centric organisation.
- Strong background in data science, machine learning, and predictive modelling.
- Experience working with big data platforms, cloud technologies, and personalisation engines.

Skills & Competencies
- Strategic Thinking & Problem-Solving: Ability to translate data insights into actionable business strategies.
- Technical Expertise: Proficiency in data analytics tools (SQL, Python, R, Power BI, etc.) and cloud platforms (AWS, Azure).
- Leadership & Stakeholder Management: Strong ability to influence and collaborate with C-suite executives, business leaders, and technology teams.
- Customer-Centric Mindset: Deep understanding of customer behaviour and data-driven engagement strategies.
- Data Storytelling & Communication: Ability to present complex data insights in a clear, compelling manner for diverse stakeholders.

Education

Bachelor's Degrees and Advanced Diplomas: Business, Commerce and Management Studies
- Absa Bank Limited reserves the right not to make an appointment to the post as advertised_